---
license: mit
task_categories:
- image-classification
- text-to-image
tags:
- synthetic
- faces
- face-recognition
- fairness
size_categories:
- 100K<n<1M
configs:
- config_name: default
  data_files: "data/*.tar"
---

# SynthFaces: balanced synthetic faces

Synthetic face dataset from the paper *SynthFaces* (accepted to BMVC 2026), [arXiv:2610.40119](https://arxiv.org/abs/2610.40119v1).
Code: [ControlGenAI/SynthFaces](https://github.com/ControlGenAI/SynthFaces). Identity sampler weights: [shredder67/id-flow](https://huggingface.co/shredder67/id-flow).

## Contents

- 15,054 synthetic identities, 10 images each: **150,540 images**, 512x512 PNG.
- `<id>_0` is the base face generated from the sampled identity embedding (ID-Flow, then Arc2Face).
  `<id>_1` to `<id>_9` are variations of the same identity.
- Every identity has a label `[age, race, gender]` (FairFace categories) shared by its 10 images.

## Format

WebDataset tar shards in `data/` (250 identities per shard). Each sample consists of:

- `<id>_<k>.png`: the image
- `<id>_<k>.json`: `{"identity", "age", "race", "gender", "age_name", "race_name", "gender_name"}`

`labels.jsonl` in the repo root has the same labels for all 150,540 images (field `image` is `<id>/<id>_<k>.png`).

```python
from datasets import load_dataset
ds = load_dataset("shredder67/synthfaces-faces-balanced", split="train", streaming=True)
sample = next(iter(ds))
sample["png"], sample["json"]
```

## Label vocabularies

- age: `0-2, 3-9, 10-19, 20-29, 30-39, 40-49, 50-59, 60-69, 70+` (ids 0 to 8)
- race: `White, Black, Latino_Hispanic, East Asian, Southeast Asian, Indian, Middle Eastern` (ids 0 to 6)
- gender: `Male, Female` (ids 0, 1)

## Label counts (images)

| age | count | race | count | gender | count |
|---|---|---|---|---|---|
| 0-2 | 2,770 | White | 25,580 | Male | 68,870 |
| 3-9 | 22,290 | Black | 18,500 | Female | 81,670 |
| 10-19 | 25,690 | Latino_Hispanic | 24,510 | | |
| 20-29 | 21,540 | East Asian | 20,700 | | |
| 30-39 | 19,690 | Southeast Asian | 21,260 | | |
| 40-49 | 19,500 | Indian | 18,790 | | |
| 50-59 | 18,090 | Middle Eastern | 21,200 | | |
| 60-69 | 15,520 | | | | |
| 70+ | 5,450 | | | | |

## Citation

See the GitHub repository for the BibTeX entry.